Evaluation - Precision/Recall/F1-score #153
bukharidxb
started this conversation in
General
Replies: 1 comment 1 reply
-
This library just computes which elements are near neighbors. If you want to actually use it for classification or regression pipelines you'll need to hook this up with sklearn's KNeighborClassifier or similar. This is not so hard to do -- see the docs to get started, and also issue #146 |
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Please let me know how can I evaluate it with other ML techniques like precision, recall, f1-score etc. Also, if possible can I get the extract of the confusion matrix. My dataset has 11 classes (labels).
Thank you
Beta Was this translation helpful? Give feedback.
All reactions